Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- CEA-Saclay
- Ecole Normale Supérieure de Lyon
- Institut des Hautes Etudes Scientifiques
- Institut des Hautes Études Scientifiques
- CY Cergy Paris University
- Ecole Normale Supérieure
- Ecole Polytechnique
- Fondation Mathématiques Jacques Hadamard
- Fondation Sciences Mathématiques de Paris
- Inria, the French national research institute for the digital sciences
- Inserm PACA Corsica
- Nature Careers
- Universite de Montpellier
- Université Grenoble Alpes
- Université de Bordeaux / University of Bordeaux
- 6 more »
- « less
-
Field
-
the interest of the project, including describing the landscape of genetic ancestry across the dataset, mapping differences in allele-frequencies between sub-populations (with a focus of clinically relevant and
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 20 days ago
programming and end-user software engineering: A systematic mapping study. Journal of Systems and Software:101–137, 2019. DOI: 10.1016/j.jss.2018.11.041. [2] W. E. Mackay. Users and customizable software: A co
-
to our efforts to map these interactions at the proteome scale using innovative biophysical and interactomic approaches, including the native holdup assay. Main responsibilities -Cloning plasmids
-
. elegans to generate a genome-wide map of centromeric determinants. -Development of an experimental protocol -Genomic, cell biology, and genetic experiments in C. elegans At the Institut Jacques Monod
-
will integrate multimodal data: imaging, signals, Omics, clinical, and contribute to analyses for risk prediction. # Experimentation & imaging You implement acquisitions (optical mapping, micro-CT
-
main axes: 1. Mapping the mental health sector in crises. Particular attention is devoted to the analysis of transformations in the medical profession, training and the field of mental health
-
that Lebanon has been going through in recent years. The SAHA project has two main axes: 1. Mapping the mental health sector in crises. Particular attention is devoted to the analysis of transformations in
-
or aggressiveness, and integrate them into predictive models. 4. Ensure model transparency via explicability tools (SHAP, attention maps) and validate performance on annotated clinical databases. The selected
-
neuronal activity, optogenetics, chemogenetics, and viral engineering for in vitro circuit mapping and in vivo behavioral manipulation, as well as machine learning and computer vision for behavioral analysis
-
and water, the mapping of polluted areas to support preventive and curative actions to control the overall consumer transmission chain and protect the population may be directly exposed. Within